agarwalishika Goto Github PK

active_learning_coreset

Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach

agarwalishika.github.io

badge

An implementation of the BADGE batch active learning algorithm.

basics-of-gnns

Based on Zak Jost's course: https://www.graphneuralnets.com/p/basics-of-gnns

benfordrandomizer

A random number generator that is more natural - it implements Benford's Law

bm8

Study Buddy! Do you ever want to study with someone in your class, but you're not sure who is in your class? No fear, Study Buddy is here! Just sign up with a specific class in mind, and you can see everyone else who is studying for the same class - just email them! Made during BM8

datastructures

Personal implementations of a few data structures/sorting algorithms

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

discord-bot

Just a silly Discord bot that I made with silly commands

dl-w-python

Based on the book by Francois Chollet

dplan-implementation

Not my original content!

dynamical

not oc!!!

gensim

Topic Modelling for Humans

idea-isail-reading-group

llm-box

meta-gdn_anomalydetection

Implementation of TheWebConf 2021 -- Few-shot Network Anomaly Detection via Cross-network Meta-learning

mood-indic

Playing around with word2vec

ocgnn

not oc!

p5

not oc!

practice

safety-gym

Tools for accelerating safe exploration research.

scheduler

A prototype of my work as an intern at Promega Corporation

seqdiffuseq

SeqDiffuSeq: Text Diffusion with Encoder-Decoder Transformers

small-text

Active Learning for Text Classification in Python

snap

Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library.

treeinstruct

TreeInstruct is a novel method that uses state space estimation and dynamic tree-based questioning for multi-turn Socratic instruction, applied to code debugging.

two-d-nav-gym

Pure-python-based, lightweight 2d-navigation environments.

yelpgraphsmat

yelp graph preprocessing